Stereo matching using sub-segmentation and robust higher-order graph cut
This paper provides a novel and efficient approach to dense stereo matching. The first contribution is, rather than applying disparity distribution inside a segment as hard constraint to directly project the likelihood of corresponding candidates to each
|Collections||ANU Research Publications|
|Source:||A Novel Illumination-Invariant Loss for Monocular 3D Pose Estimation|
|01_Xie_Stereo_matching_using_2011.pdf||481.74 kB||Adobe PDF||Request a copy|
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